Anime4K vs waifu2x
Which should you use? A side-by-side look at what each one does, who it suits, what it costs, how hard it is to set up, and where each falls short.
Open source · MIT
Real-time shaders that upscale 1080p anime video to 4K while playing it.
Open source · MIT
Upscales and denoises anime-style art (and photos) using a Lua/Torch neural network.
The short answer
Choose Anime4K if you need…
- People watching native 1080p anime on a 4K screen
- Viewers who want upscaling during playback without re-encoding files
- Users of media players that support GLSL shaders, such as mpv or Plex setups described in the README
- People who want to tweak upscaling behavior with modular shader components
Choose waifu2x if you need…
- People with an NVIDIA GPU who want to upscale anime-style illustrations
- Users comfortable running command-line tools on Linux
- Batch-converting a folder of images with one command
- Hobbyists who want to try a Torch-based super-resolution model
Side-by-side
| Anime4K | waifu2x | |
|---|---|---|
| Type | Other | App |
| Price | Free and open source | Free and open source |
| Licence | MIT | MIT |
| GitHub stars | 21.6k | 28.2k |
| Setup difficulty | Intermediate | Advanced |
| How you get it | See the README | Clone and build from source |
| Main language | Jupyter Notebook | Lua |
| Last code update | 2 years ago | 4 years ago |
What each one is
Anime4K
Anime4K is a set of open-source shader algorithms that make anime video look sharper when upscaled to a larger screen, such as a 4K display. It runs during playback rather than re-encoding the file, so the original video is left untouched. The README says it is optimized for native 1080p anime and is not meant for lower-resolution or older material.
waifu2x
waifu2x is a tool that enlarges images by two times and reduces noise, trained mainly on anime-style artwork and also offering a photo model. It runs as a command-line program or a local web app, using a deep convolutional neural network built on Torch7 and NVIDIA CUDA. The README notes that development has moved to a PyTorch successor project called nunif.
Best for
Anime4K
- People watching native 1080p anime on a 4K screen
- Viewers who want upscaling during playback without re-encoding files
- Users of media players that support GLSL shaders, such as mpv or Plex setups described in the README
- People who want to tweak upscaling behavior with modular shader components
waifu2x
- People with an NVIDIA GPU who want to upscale anime-style illustrations
- Users comfortable running command-line tools on Linux
- Batch-converting a folder of images with one command
- Hobbyists who want to try a Torch-based super-resolution model
Strengths
Anime4K
- Designed to run in real time, according to the README
- Keeps the original video file unchanged because it works during playback
- Modular shader components can be customized for specific anime styles
waifu2x
- Widely known and proven on anime-style art, with a live demo site available
- Offers separate noise reduction, 2x upscaling, and combined modes
- Supports batch conversion and training your own models using the included scripts
Not ideal for
Anime4K
- Viewers with 720p, 480p, or DVD-quality anime, since the README says it is not optimized for these and older material has artifacts that are hard to remove
- People who need the best possible quality on very low-resolution images, since the README points to SRGAN-style models as better there, though slower
- Users who want a simple one-click app, since the README links to platform-specific setup guides for each player
waifu2x
- Anyone who wants current development: the README says work moved to nunif in 2023/02, and this repo's last push is 2023-05-04, so it is effectively a legacy codebase
- Users without an NVIDIA GPU, since the README lists NVIDIA GPU as the hardware requirement
- Beginners who want a one-click desktop app; the README points to a cloud or browser demo and third-party Windows tools for that
Trade-offs
Anime4K
- The README says it is not optimized for lower-resolution or older anime
- Setup depends on the specific media player, with separate guides for each platform
- The README notes that some listed projects may use outdated versions
waifu2x
- Depends on old software: Torch7, CUDA setup notes reference Ubuntu 14.04/16.04 and CUDA 7.5 to 10.x, so setup is hard on modern systems
- Not actively developed here; the README directs new work to nunif
- No prebuilt binaries are provided with the latest release
Getting started
Anime4K
Clone the repository
git clone https://github.com/bloc97/Anime4Kwaifu2x
Clone the repository
git clone --depth 1 https://github.com/nagadomi/waifu2x.gitEnter the folder and install Lua modules
cd waifu2x && ./install_lua_modules.shFrequently asked questions
What is the difference between Anime4K and waifu2x?
Anime4K: Real-time shaders that upscale 1080p anime video to 4K while playing it. waifu2x: Upscales and denoises anime-style art (and photos) using a Lua/Torch neural network. Anime4K suits people watching native 1080p anime on a 4k screen, while waifu2x suits people with an nvidia gpu who want to upscale anime-style illustrations.
Are Anime4K and waifu2x free?
Anime4K: Free and open source. waifu2x: Free and open source.
Which is easier to set up, Anime4K or waifu2x?
Anime4K is easier to get started with (rated intermediate); waifu2x is rated advanced and usually needs more setup.
Is Anime4K or waifu2x more popular?
waifu2x has more GitHub stars (28.2k) than Anime4K (21.6k). Popularity isn't the same as fit — check which one matches your use case above.
Keep comparing
Built from our catalogue entries for both products: open-source details come from each project's README (AI-assisted, refreshed weekly) and GitHub data; AI-tool details are editorial. Spotted something wrong? Let us know from either product's page.